16 results for Software Engineer in Willis, TX

Platform/Software Engineer

Houston, TX
onsite
Permanent
140000 - 180000 USD / Yearly
Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform. Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.
2026-02-17T00:00:00Z

Junior Software Engineer

Spring, TX
onsite
Permanent
55000 - 66000 USD / Yearly
We are looking for an entry-level Software Engineer to join our dynamic team in Spring, Texas. This role offers an exciting opportunity to contribute to the development and enhancement of cutting-edge software applications. You will work closely with a collaborative team to design, implement, and maintain innovative solutions. Responsibilities: • Develop and maintain software applications using C# and .NET frameworks. • Collaborate with team members to design and implement user-friendly features using React.js and JavaScript. • Troubleshoot and resolve software issues to ensure optimal functionality. • Participate in code reviews to uphold high-quality standards. • Assist in testing and debugging applications to ensure reliability and performance. • Create and update technical documentation for software projects. • Implement improvements to existing systems based on user feedback. • Stay updated on emerging technologies and industry trends to continuously enhance skills.
2026-02-18T00:00:00Z

Application Developer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Robert Half is looking for an application developer who actively looks to find the creative solution to a problem. To be successful in this role, you should be passionate about developing new mobile platforms and consider yourself an authority on how they should be built. What you get to do every single day · Development and unit testing complex code for new improvements and to fix defects based on detailed specifications and conducts unit testing · Monitors software configuration changes to anticipate and address the impact of data reliability and user happiness issues · Code reviews · Develop and deliver communications to key partners in a highly collaborative environment
2026-03-09T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
Data Engineer,Data Engineer,,Data Engineer,Data Engineer,,,Data Engineer,Data En
2026-03-13T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Position OverviewWe are seeking a talented Data Engineer with strong experience in Python, AWS, and Databricks to design and build scalable data pipelines and modern data platforms. The ideal candidate will help develop and maintain data infrastructure that supports analytics, machine learning, and business intelligence initiatives. This role requires hands-on experience working with large datasets, cloud-native architectures, and distributed data processing frameworks. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python and cloud technologies.</li><li>Develop and optimize data solutions using AWS services and Databricks.</li><li>Build and manage data lakes and data warehouses for structured and unstructured data.</li><li>Implement data transformation and processing pipelines using Apache Spark within Databricks.</li><li>Integrate data from multiple sources including APIs, databases, and streaming systems.</li><li>Ensure data quality, governance, security, and compliance across the data platform.</li><li>Monitor pipeline performance and troubleshoot data pipeline failures or latency issues.</li><li>Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable datasets.</li><li>Optimize storage and compute costs within the AWS ecosystem.</li><li> </li></ul>
2026-03-09T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics. Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure data services.</li><li>Build and manage data solutions using tools such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks.</li><li>Develop and optimize data models, transformations, and storage strategies for large-scale structured and unstructured datasets.</li><li>Ensure data quality, integrity, and security across the data platform.</li><li>Monitor and troubleshoot data workflows, pipeline failures, and performance issues.</li><li>Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.</li><li>Implement data governance and best practices for data management and documentation.</li><li>Automate data processes and deployments using CI/CD pipelines and infrastructure-as-code practices.</li><li>Optimize cost and performance of Azure data services.</li><li>Stay current with new Azure features, tools, and industry best practices.</li></ul>
2026-03-09T00:00:00Z

Sr Cloud Developer - Software

Houston, TX
onsite
Permanent
140000 - 160000 USD / Yearly
As the Software Engineer, you will be responsible for designing and developing automated solutions and system integrations to optimize our business operations. You will be a key player in gathering requirements from non-technical stakeholders, translating them into technical specifications, and ensuring that the delivered solutions meet their needs. You will be responsible for fostering and maintaining strong relationships with stakeholders, ensuring they have confidence in the technology solutions that support their business processes. Your advanced skills in solution design, AWS, and programming languages will be critical to delivering scalable, reliable, and impactful solutions. Automation Development: Design, develop, and oversee the maintenance of automation scripts and tools to streamline and optimize business processes.Cloud Integration: Architect and manage integrations between various systems and AWS services, ensuring seamless data flow and system interoperability.Solution Design: Architect scalable and reliable integration solutions that align with business requirements and technical constraints.Testing & Validation: Oversee and participate in the testing of automation and integration solutions to ensure functionality, reliability, and security.Documentation: Maintain detailed documentation of automation processes, integration workflows, and system configurations.Continuous Improvement: Lead efforts to identify opportunities for process improvements, proposing and implementing innovative automation solutions across the organization.Support & Troubleshooting: Provide high-level support for existing automation and integration solutions, troubleshooting issues, and implementing fixes as necessary.
2026-02-17T00:00:00Z

Programmer Analyst

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Robert Half is looking for a programmer analyst who combines a real passion for formulating and defining systems scope and objectives with an understanding of software and applications programming and industry requirements. Through research and fact-finding, you'd make recommendations for developing or modifying applications or databases. What you get to do every single day · Build and test programming changes for each phase of systems development prior to implementation. Writes test cases and expected results. Reviews results for conformance to requirements. May plan simple tests or a defined subset of a larger system test. May make recommendations for acceptance/rejection if requirements are not all met · Analyzes user requests for systems changes or improvements. Documents functional requirements and assesses cost, feasibility and utility. Develops recommendation as to how, when or whether to proceed with making the changes · Acts as the in-house guide on applications, systems and/or processes to internal clients in identifying and resolving, processing/reporting programming problems. Consultation can take the form of trouble shooting and/or education · Provides ongoing training and assistance for end users and other partner groups for a particular application, system or process · Analyzes processing procedures. Develops recommendations for improvements · Builds and maintains dictionaries for applications and systems support by the analyst · Analyzes and documents issues. Works with other programmers to correct code problems · Assists in the developing communication content for specific system changes being implemented in production
2026-03-09T00:00:00Z

Artificial Intelligence (AI) Engineer

Houston, TX
onsite
Permanent
150000 - 180000 USD / Yearly
Artificial Intelligence (AI) Engineer,Computer Vision,TensorFlow,Machine Learning,Detection,Artificial Intelligence (A
2026-03-13T00:00:00Z

Senior Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Architect and deliver modern data platform solutions with a strong emphasis on Databricks and contemporary cloud data technologies.Build secure, scalable, and high‑performing data environments that enable analytics, reporting, and enterprise‑wide data initiatives.Oversee and execute migrations from legacy relational databases into Databricks-based ecosystems.Design and structure scalable data pipelines and foundational data infrastructure aligned with organizational goals.Create and maintain ETL/ELT processes within Databricks to ensure efficient ingestion, transformation, and delivery of data.Continuously refine and optimize data workflows to improve performance, stability, and data quality across all processes.Manage end-to-end data transitions to ensure operational continuity with minimal business disruption.Monitor Databricks workloads and optimize performance, scalability, and cost efficiency across compute and storage layers.Partner with data engineers, scientists, analysts, and product stakeholders to gather requirements and build fit‑for‑purpose data solutions.Establish and enforce data engineering best practices, development standards, and architectural guidelines.Assess emerging tools and technologies to enhance pipeline efficiency, reliability, and automation capabilities.Provide technical direction, guidance, and mentorship to junior engineers and team members.Collaborate closely with DevOps and infrastructure teams to deploy, manage, and support data systems in production.Ensure all data solutions meet compliance standards, organizational security policies, and regulatory obligations.Work with enterprise architects and IT leadership to align data architecture with broader technology strategies and long-term roadmaps
2026-03-01T00:00:00Z

Full Stack Python Developer

Houston, TX
onsite
Permanent
120000 - 150000 USD / Yearly
Full Stack Python DeveloperWe are looking for a talented Full Stack Python Developer to join our team in Houston, Texas. In this role, you will collaborate with technical and non-technical stakeholders to design and develop innovative applications that support global commercial and operational functions. This position offers an exciting opportunity to create impactful solutions that enhance decision-making and optimize processes. Key Responsibilities<ul><li>Design, develop, and maintain full-stack applications using Python, React, and C#.</li><li>Rapidly prototype and iterate on solutions based on user feedback.</li><li>Analyze business requirements and manage project lifecycles independently.</li><li>Collaborate with cross-functional teams to identify opportunities for innovation.</li><li>Optimize and maintain relational databases such as PostgreSQL or Oracle.</li><li>Develop APIs and integrate existing tools and platforms to enhance system capabilities.</li><li>Stay current with advancements in Python, React, and related technologies.</li><li>Provide technical expertise and support to commercial teams.</li><li>Troubleshoot and resolve issues within existing applications.</li></ul>
2026-02-15T00:00:00Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent
140000 - 175000 USD / Yearly
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.🔧 Core Responsibilities<ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
2026-02-15T00:00:00Z

Data Engineer - Python

Houston, TX
onsite
Permanent
110000 - 160000 USD / Yearly
We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions. Responsibilities<ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
2026-02-15T00:00:00Z

Business Intelligence Engineer

Houston, TX
onsite
Temporary
40 - 50 USD / Hourly
Overview We are seeking a Power BI Developer to serve as the technical owner of the organization’s Power BI and analytics environment. This role focuses on platform ownership, data modeling, governance, and maintaining a stable analytics ecosystem rather than primarily building reports. The ideal candidate is a hands-on technical leader with strong experience in Power BI, SQL, and ETL processes, who can support the analytics platform while collaborating with data engineers, business stakeholders, and cross-functional teams. Key Responsibilities<ul><li>Serve as the technical lead and primary owner of the Power BI analytics environment.</li><li>Act as the first point of contact for platform issues and ensure ongoing system stability and performance.</li><li>Manage and maintain security, access controls, and governance across Power BI workspaces and datasets.</li><li>Monitor and support development and production analytics environments.</li><li>Partner with data engineering and IT teams to understand upstream data pipelines and ensure data is structured for reporting and analytics.</li><li>Design, build, and maintain semantic and data models within Power BI.</li><li>Develop and optimize complex SQL queries and ETL processes to support analytics and reporting needs.</li><li>Build scalable Power BI data models using star schema and dimensional modeling best practices.</li><li>Ensure consistent documentation, deployment standards, and version control across analytics assets.</li><li>Communicate effectively with business users and stakeholders to support reporting and data needs.</li></ul>
2026-03-09T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-02-17T00:00:00Z

Data Engineer (AI/ML)- Oil & Gas Exp

Houston, TX
onsite
Contract / Temporary to Hire
57 - 66 USD / Hourly
We are looking for a skilled Data Engineer with expertise in AI/ML technologies and prior experience in the oil and gas industry to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in transforming data into actionable insights through advanced analytics and innovative solutions. This opportunity is ideal for professionals who thrive in data-driven environments and excel at leveraging tools like Power BI and PowerApps. Responsibilities: • Develop and manage Power BI dashboards and reports to deliver meaningful insights from raw data. • Utilize PowerApps to create and maintain applications that support business intelligence initiatives. • Collaborate with cross-functional teams to understand data requirements and implement solutions. • Analyze complex datasets to identify trends and patterns that inform decision-making. • Ensure the accuracy, reliability, and security of data within BI systems. • Optimize data pipelines and workflows for improved performance and scalability. • Provide technical expertise to support AI/ML integration into existing data processes. • Stay updated on emerging technologies and best practices in data engineering and AI/ML. • Troubleshoot and resolve issues related to data tools and processes. • Document processes, workflows, and methodologies for future reference.
2026-03-11T00:00:00Z